AI-2: Artificial Intelligence, Machine Learning & Computer Vision

Master AI fundamentals, machine learning algorithms, and computer vision techniques. Build intelligent systems that can learn from data, process language, and understand images.

Learning Outcomes

• Build machine learning models using TensorFlow and Keras
• Implement computer vision applications with OpenCV
• Deploy AI solutions to production environments

Prerequisites

• Basic programming knowledge (preferably Python)
• Computer with internet connection
• Google account for Google Colab

Lesson	Topic	Objectives	Notes/File Link	Activities Link	Projects	Exit Ticket	Submission Link
1	Introduction to AI	AI fundamentals, history, and ethics	Concept 01: Introduction to AI	Activity 01: Introduction to AI	-	ET-1	Submit Activity
2	Machine Learning + Supervised and Unsupervised Learning	ML types and learning approaches	Concept 02: Machine Learning + Concept 03: Supervised & Unsupervised Learning	Activity 02: Machine Learning Activity 03: Supervised & Unsupervised Learning	-	ET-2 ET-3	Submit Activity
3	Machine Learning Process + Data Preparation	ML workflow and data preprocessing	Concept 04: Machine Learning Process + Concept 05: Data Preparation	Activity 04: Machine Learning Process Activity 05: Data Preparation	-	ET-4 ET-5	Submit Activity
4	Regression + Classification	Prediction algorithms and techniques	Concept 06: Regression + Concept 07: Classification	Activity 06: Regression Activity 07: Classification	-	ET-6 ET-7	Submit Activity
5	Project One: Instagram Reach Analysis	Apply ML to social media data	-	Instagram Reach Analysis	Project One: Instagram Reach Analysis	-	Submit Project
6	Project 2: Titanic Survivors Classification	Classification with historical data	-	Titanic Survivors Classification	Project 2: Titanic Survivors Classification	-	Submit Project
7	Clustering	Unsupervised learning and K-Means	Concept 08: Clustering	Activity 08: Clustering	-	ET-8	Submit Activity
8	Project 3: Mall Customer Segmentation	Customer behavior analysis	-	Mall Customer Segmentation	Project 3: Mall Customer Segmentation Project	-	Submit Project
9	Natural Language Processing + Text Processing	NLP fundamentals and text analysis	Concept 09: Natural Language Processing (NLP) + Concept 10: Text Processing	Activity 09: Natural Language Processing Activity 10: Text Processing	-	ET-9 ET-10	Submit Activity
10	Project 4: Chatbot	Build conversational AI	-	Chatbot	Project 4: Chatbot	-	Submit Project
11	Streamlit	Web applications for AI models	Concept 11: Streamlit	Activity 11: Streamlit	-	ET-11	Submit Activity
12	Quiz 1	Assessment of AI and ML fundamentals	Quiz 1 - Revision	Quiz 1	-	-	-
13	Computer Vision + OpenCV	Image processing fundamentals	Concept 12: Computer Vision + Concept 13: OpenCV	Activity 12: Computer Vision Activity 13: OpenCV-Python	-	ET-12 ET-13	Submit Activity
14	Image Processing + Drawing with OpenCV	Advanced image manipulation	Concept 14: Image Processing with OpenCV + Concept 15: Drawing with OpenCV	Activity 14: Image Processing Activity 15: Drawing with OpenCV	-	ET-14 ET-15	Submit Activity
15	Object Detection using Haar Cascades	Face detection algorithms	Concept 16: Object Detection using Haar Cascades Classifier	Activity 16: Object Detection using Haar Cascades Classifier	-	ET-16	Submit Activity
16	Project 5: Face Detector	Real-time face detection systems	-	Face Detector	Project 5: Face Detector	-	Submit Project
17	Object Detection with YOLO Algorithm	Modern object detection with YOLO	Concept 17: Object Detection with YOLO Algorithm	Activity 17: Object Detection with YOLO Algorithm	-	ET-17	Submit Activity
18	Project 6: Custom Object Detection with YOLOv8	Custom object detection models	-	Custom Object Detection with YOLOv8	Project 6: Custom Object Detection with YOLOv8	-	Submit Project
19	Deep Learning + Image Classification	Deep learning and neural networks	Concept 18: Deep Learning + Image Classification	Activity 18: Deep Learning & Image Classification	-	ET-18	Submit Activity
20	Quiz 2	Assessment of computer vision concepts	Quiz 2 - Revision	Quiz 2	-	-	-
21	Final Project Proposal	Project planning and research	-	-	Final Project Proposal	-	-
22	Final Project Prototype	Build functional AI prototypes	-	-	Final Project Prototype	-	-
23	Final Project Presentation	Present AI applications	-	-	Final Project Presentation Preparation	-	Submit Project
24	Graduation	Project evaluation and course completion	Download Graduation Background	Complete Feedback Form	-	Submit Testimonial	-

Quick Links

• Exit Tickets - Assessment questions
• Course Materials - All lesson content
• Project Templates - Project specifications